Case Study
How TUBR was able to understand the ‘likely to buy’ signals and support stylists in increasing product sales.
The Challenge
Personal care is a booming industry, making it no surprise that the number of salons that offer a wider range of services beyond hair care is increasing. This diversification attracts a broader clientele and allows for bundled pricing or discounts, making it harder for hair salons to compete if they only focus on hair-related services. This puts higher pressure on hair salons to increase product sales in order to achieve greater revenue. However, this doesn’t come with its own challenges:
- Limited Retail Space: Hair salons often have limited space to display retail products, making it harder to effectively showcase and promote. stocking the right amount of products is therefore made more difficult, as overstocking can lead to wasted resources and understocking can result in missed sales opportunities.
- Customer Reluctance: Clients may be resistant to purchasing products due to perceived high prices or a preference for purchasing beauty products online or from larger retailers.
- Staff Training: Ensuring that all staff are knowledgeable about the products and skilled in upselling can be a challenge. Without proper training, staff may lack confidence in promoting products to clients.
- Competition from E-commerce: Online retailers often offer a broader selection of beauty products at competitive prices, making it difficult for hair salons to compete on product sales.
With increased economic pressure, client loyalty and retention is also harder than ever to achieve, especially with competition from salons that can offer additional services and introductory offers. In order to provide a truly personalised experience, salons need to turn stylists into sales people, without compromising their creativity or the client experience.
TUBR’s approach at a glance
TUBR analysed all historical datasets for a group of salons, e.g. past sales, booking, point-of-sale, etc, resulting in the creation of automated tailored product recommendations for stylists to increase chance of a sale.
